Ground-glass nodule segmentation in chest CT images using asymmetric multi-phase deformable model and pulmonary vessel removal

Abstract Background: Since the first case of a coronavirus disease 2019 (COVID-19) infection pneumonia was detected in Wuhan, China, a series of confirmed cases of the COVID-19 were found in Southwest China. The aim of this study was to describe the imaging manifestations of hospitalized patients with confirmed COVID-19 infection in southwest China. Methods: In this retrospective study, data were collected from 131 patients with confirmed coronavirus disease 2019 (COVID-19) from 3 Chinese hospitals. Their common clinical manifestations, as well as characteristics and evolvement features of chest CT images, were analyzed. Results: A total of 100 (76%) patients had a history of close contact with people living in Wuhan , Hubei. The clinical manifestations of COVID-19 included cough, fever. Most of the lesions identified in chest CT images were multiple lesions of bilateral lungs, lesions were more localized in the peripheral lung, 109 (83%) patients had more than two lobes involved, 20 (15%) patients presented with patchy ground glass opacities, patchy ground glass opacities and consolidation of lesions co-existing in 61 (47%) cases. Complications such as pleural thickening, hydrothorax, pericardial effusion, and enlarged mediastinal lymph nodes were detected but only in rare cases. For the follow-up chest CT examinations (91 cases), We found 66 (73%) cases changed very quickly, with an average of 3.5 days, 25 cases (27%) presented absorbed lesions, progression was observed in 41 cases (46%), 25 (27%) cases showed no significant changes. Conclusion: Chest CT plays an important role in diagnosing COVID-19. The imaging pattern of multifocal peripheral ground glass or mixed consolidation is highly suspicious of COVID-19, that can quickly change over a short period of time.

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Different Appearance of Chest CT Images of T2DM and NDM Patients with COVID-19 Pneumonia Based on an Artificial Intelligent Quantitative Method

International Journal of Endocrinology ◽

10.1155/2021/6616069 ◽

2021 ◽

Vol 2021 ◽

pp. 1-6

Author(s):

Shan Lu ◽

Zhiheng Xing ◽

Shiyu Zhao ◽

Xianglu Meng ◽

Juhong Yang ◽

...

Keyword(s):

Artificial Intelligence ◽

Diabetes Mellitus ◽

Blood Glucose ◽

Quantitative Method ◽

Ct Images ◽

Chest Ct ◽

Ground Glass ◽

Patients With Diabetes ◽

Group A ◽

Group B

COVID-19 is a kind of pneumonia with new coronavirus infection, and the risk of death in COVID-19 patients with diabetes is four times higher than that in healthy people. It is unclear whether there is a difference in chest CT images between type 2 diabetes mellitus (T2DM) and non-diabetes mellitus (NDM) COVID-19 patients. The aim of this study was to investigate the differences in chest CT images between T2DM and NDM patients with COVID-19 based on a quantitative method of artificial intelligence. A total of 62 patients with COVID-19 pneumonia were retrospectively enrolled and divided into group A (T2DM COVID-19 pneumonia group, n = 15) and group B (NDM COVID-19 pneumonia group, n = 47). The clinical and laboratory examination information of the two groups was collected. Quantitative features (volume of consolidation shadows and ground glass shadows, proportion of consolidation shadow (or ground glass shadow) to lobe volume, total volume, total proportion, and number) of chest spiral CT images were extracted using Dr. Wise @Pneumonia software. The results showed that among the 26 CT image features, the total volume and proportion of bilateral pulmonary consolidation shadow in group A were larger than those in group B ( P = 0.031 and 0.019, respectively); there was no significant difference in the total volume and proportion of bilateral pulmonary ground glass density shadow between the two groups ( P > 0.05 ). In group A, the blood glucose level was correlated with the volume of consolidation shadow and the proportion of consolidation shadow to right middle lobe volume, and higher than those patients in group B. In conclusion, the inflammatory exudation in the lung of COVID-19 patients with diabetes is more serious than that of patients without diabetes based on the quantitative method of artificial intelligence. Moreover, the blood glucose level is positively correlated with pulmonary inflammatory exudation in COVID-19 patients.

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Outcome of Pulmonary Spherical Ground-glass Opacities on Ct in Patients With Coronavirus Disease 2019 (Covid-19): A Retrospective Analysis

10.21203/rs.3.rs-30665/v1 ◽

2020 ◽

Author(s):

Wangjia Li ◽

Liangbo Hu ◽

Junhao Huang ◽

Fajin Lv ◽

Binjie Fu ◽

...

Keyword(s):

Retrospective Study ◽

Ct Scan ◽

Retrospective Analysis ◽

Ct Images ◽

Chest Ct ◽

Ground Glass ◽

Direct Absorption ◽

Simultaneous Decrease ◽

Chest Ct Scan

Abstract Background: Pulmonary spherical ground-glass opacities (GGOs) are commonly detected on initial chest CT scan in patients with coronavirus disease 2019 (COVID-19).We aimed to investigate the evolution of spherical GGOs to better understand their clinical significance.Materials and Methods:A retrospective study of 33 consecutive patients with confirmed COVID-19 and pulmonary spherical GGOs was performed from January 21, 2020, to March 6, 2020. The initial and follow-up CT images and clinical data were reviewed. The initial CT manifestations of spherical GGOs and their subsequent changes were mainly evaluated. Results:A total of 101 pulmonary spherical GGOs, including 38 with and 63 without consolidation, were found in 33 patients. Of the 101 spherical GGOs, 71 (70.3%) and 30 (29.7%) showed progression and direct absorption on follow-up CT images, respectively. GGOs with consolidation were more likely to progress than those without (84.2% vs. 61.9%, p = 0.017). The 71 progressed lesions mainly showed an increase in size and/or density and most (70.4%) of them extended toward the pleura and developed from spherical to patchy. Internal consolidation appeared and increased in 18 (25.4%) and 22 (31.0%) lesions, respectively. During absorption, all the previous progressed and directly absorbed lesions exhibited a simultaneous decrease in size and density. On each patient’s final CT, more lesions with progression had a residual mixed GGO (40.8% vs. 6.7%, p = 0.002) and fewer had pure GGO (39.4% vs. 60.0%, p = 0.016) than those with direct absorption.Conclusion: In patients with COVID-19, most pulmonary spherical ground-glass opacities would progress, especially those with consolidation, and develop into patchy, subpleural lesions.

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Spectrum of Chest Computerised Tomography (CT) findings of Covid 19 in Indian Population

PERSPECTIVES IN MEDICAL RESEARCH - 2 ◽

10.47799/pimr.0901.09 ◽

2021 ◽

Vol 9 (1) ◽

pp. 43-49

Author(s):

Shravya Boini ◽

Vikas Chennamaneni ◽

Vamshi Kiran Diddy ◽

Momin Sayed Kashif

Keyword(s):

Lower Lobe ◽

Ground Glass Opacity ◽

Ct Images ◽

Chest Ct ◽

Ct Scans ◽

Ground Glass ◽

Study Cohort ◽

Study Population ◽

Ct Features

Background: To analyze the chest computed tomography (CT) features in patients with coronavirus disease 2019 (COVID-19) pneumonia. Methods: This was a prospective descriptive study comprising 202 consecutive reverse transcriptase polymerase chain reaction (RT-PCR) positive patients who underwent CT chest. For 25 patients, follow-up CT scans were obtained. The CT images were evaluated for the number, type and distribution of the opacity, and CT severity scoring was done Results: Among the total study cohort of 202 patients, 152 were males and 50 were females .From July 07, 2020, to september07, 2020, totally 202 laboratory-confirmed patients with COVID-19 underwent chest CT. For 25 patients, follow-up CT scans were obtained. The CT images were evaluated for the number, type and distribution of the opacity, and the affected lung lobes. Furthermore, the initial CT scan and the follow-up CT scans were compared. Results were patients (98.5%) had two or more opacities in the lung and 3 (1.5%) patients has negative chest CT. 183 (90.6%) patients had only ground-glass opacities; 13 patients (6.4%) had ground-glass and consolidative opacities; and 3 patients (1.5%) had only consolidation. A total 192 of patients (96.5%) showed two or more lobes involved. The opacities tended to be both in peripheral and central 7 (3.5%) or purely peripheral distribution 192 (96.5%). 177 patients (88.9%) had the lower lobe involved.8 patients showed complete resolution of lung findings. Conclusion: In this study population, the typical CT features of COVID 19 pneumonia are ground glass opacity with or without consolidation, which is patchy and peripheral, predominantly in lower lobes.

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